Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization With Deep Neural Networks for Robot Hand Multiple Grasping Motion Control.
Roberto MeattiniAlessio CaporaliAlessandra BernardiniGianluca PalliClaudio MelchiorriPublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- motion control
- negative matrix factorization
- mobile robot
- neural network
- autonomous robots
- control system
- robot control
- physical constraints
- autonomous navigation
- pattern recognition
- sparse representation
- model selection
- signal processing
- matrix factorization
- principal component analysis
- document clustering
- data sets
- image processing
- visual servoing
- pairwise
- spectral clustering
- path planning
- dynamic environments
- motion planning
- collaborative filtering
- real robot
- reinforcement learning
- real time